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IAES International Journal of Robotics and Automation (IJRA)
ISSN : 20894856     EISSN : 27222586     DOI : -
Core Subject : Engineering,
Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our co-workers in factories and offices, or maids in our homes. The IAES International Journal of Robotics and Automation (IJRA) is providing a platform to researchers, scientists, engineers and practitioners throughout the world to publish the latest achievement, future challenges and exciting applications of intelligent and autonomous robots. IJRA is aiming to push the frontier of robotics into a new dimension, in which motion and intelligence play equally important roles. Its scope includes (but not limited) to the following: automation control, automation engineering, autonomous robots, biotechnology and robotics, emergence of the thinking machine, forward kinematics, household robots and automation, inverse kinematics, Jacobian and singularities, methods for teaching robots, nanotechnology and robotics (nanobots), orientation matrices, robot controller, robot structure and workspace, robotic and automation software development, robotic exploration, robotic surgery, robotic surgical procedures, robotic welding, robotics applications, robotics programming, robotics technologies, robots society and ethics, software and hardware designing for robots, spatial transformations, trajectory generation, unmanned (robotic) vehicles, etc.
Articles 7 Documents
Search results for , issue "Vol 6, No 1: March 2017" : 7 Documents clear
Automatic Skyscraper Window Cleaning System Kavya S; Karthik M.S.; Arun Kumar C
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (9.779 KB) | DOI: 10.11591/ijra.v6i1.pp15-20

Abstract

Automatic Skyscraper Window Cleaning System (ASWCS) aims at providing a risk free and more automated solution for the problem of cleaning glass windowed high rise buildings. It consists of a rollers-based moving platform suspended by a motorized pulley from the top of the building. The cleaning is done with the help of a motor driven cleaning roller brush and water spraying system provided in the platform. The rail system provided on the parapet wall of the building aids in the motorized horizontal movement of the cleaning platform. The entire operation is controlled by a TI MSP430 microcontroller. Once the dimensions of the building are input, the proposed system achieves cleaning with less human intervention. Hence the ASWCS provides an easy, efficient and safe solution for maintenance of skyscraper windows.
Path Planning of the Fire Escaping System Using Active Detection Module Ying Yao Ting; Huan Sheng Wang; Kuo Lan Su
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.058 KB) | DOI: 10.11591/ijra.v6i1.pp21-30

Abstract

This article proposes a security system which detects the fire events and plans the moving route. Each robot with several modules owns the shape of cylinder and height, weight and diameter is 18cm, 1.5kg and 8cm. A main controller (STC12C5A60S2) equips robots as a microprocessor. Each robot has the capability to escape from the fire scene. Whenever detecting fires and obstacles using image sensor and reflective IR sensors, robots send the ID code, orientation, and position to the centralized computer and other robots. After other robots have confirmed the fire events, the centralized computer uses the Gaussian probability function to calculate the danger values of the surrounding points near the fire source. And Bayesian estimation method is applied to compute the total estimated value of each point in platform. Furthermore, the total weighted values of all points are shown in a platform and its aim is to enlarge the difference between danger and safety without ambiguity. A* algorithm is used in the escaping routes are planned by a centralized computer. The mobile robot follows the leading of the supervised computer autonomously to escape from dangerous areas. The air-fuel ratio and the rate of increasing in temperature with distance are directly proportional to the danger value. Associating the increasing temperature rate with three-fire sources, it is verified to be an efficient system.
Crowbar Resistance Setting and its Influence on DFIG Low Voltage Based on Characteristics Li Shengqing; Yao Ming; Yuwen Zhang
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (590.057 KB) | DOI: 10.11591/ijra.v6i1.pp31-38

Abstract

In the case of low voltage fault cases,doubly fed induction generator (DFIG) with Crowbar protection circuit to realize low voltage ride through (LVRT),and the choice of crowbar resistance of unit LVRT effects is very large.In this paper, from the DFIG wind power system steady state and transient mathematical model of voltage drop down, using space vector analysis method and Laplace transform, deduced the time domain transient current expressions of voltage drop Put forward the method for calculating the maximum fault current and the rotor side crowbar resistance setting method, solve the crowbar protection circuit for tilting rotor current and DC bus over-voltage problems. Numerical example and simulation shows that, The proposed method, effectively suppress the transient component of fault current, significantly improved the automation level of the wind power system.
Programmable Automation Controller Mechatronic Experiment Thomas Gross; Kevin Anderson; Nolan Tsuchiya
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.392 KB) | DOI: 10.11591/ijra.v6i1.pp39-48

Abstract

This paper describes the use of the OPTO-22 Programmable Automation Controller (PAC) Learning center in the undergraduate control systems course at California State Polytechnic University at Pomona (Cal Poly Pomona). The OPTO-22 PAC System is an integrated system of hardware and software used for industrial control, remote monitoring, and data acquisition applications. The paper compares the pros and cons of using a PAC versus Programmable Logic Controller (PLC) or Field Programmable Gate Array (FPGA) systems. The paper introduces the flowchart based programming environment used in PACs. The paper includes an illustrative example of how the OPTO-22 PAC system can be interfaced to an industrial based Mechatronics pick-and-place robot station. This example details the input/output interfaces of the OPTO-22 PAC unit and the SUN Equipment Mecahtronics pick and place robot unit. Details of the flow chart programming and I/O interfacing protocols are given in the paper. The I/O configuration dialog in the OPTO-22 PAC development environment are also presented in this paper.
“Nearest Zero-point” Algorithm for Cooperative Robotic Search Missions Vahid Aryai; Mahsa Kharazi; Farid Ariai
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.426 KB) | DOI: 10.11591/ijra.v6i1.pp49-58

Abstract

Four path planning and data exchange algorithms for cooperative search and coverage robotic missions are proposed and modified. The introduced methods are simulated using C++ programming environment and the results are discussed in detail for environments with static obstacles. It has been shown that using the “nearest zero-point” algorithm can greatly optimize the mission duration and also overlapping of the search trajectories. Finally, the results are compared with several existing algorithms.
Robotic Arm Movement Optimization Using Soft Computing Surender Kumar; Kavita Rani; V. K. Banga
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.674 KB) | DOI: 10.11591/ijra.v6i1.pp1-14

Abstract

Robots are commonly used in industries due to their versatility and efficiency. Most of them operating in that stage of the manufacturing process where the maximum of robot arm movement is utilized. Therefore, the robots arm movement optimization by using several techniques is a main focus for many researchers as well as manufacturer. The robot arm optimization is This paper proposes an approach to optimal control for movement and trajectory planning of a various degree of freedom in robot using soft computing techniques. Also evaluated and show comparative analysis of various degree of freedom in robotic arm to compensate the uncertainties like movement, friction and settling time in robotic arm movement. Before optimization, requires to understand the robot's arm movement i.e. its kinematics behavior. With the help of genetic algorithms and the model joints, the robotic arm movement is optimized. The results of robotic arm movement is optimal at all possible input values, reaches the target position within the simulation time.
Material Handling and Assembly Process Optimization using Value Stream Mapping Daniel Derrell Forest; G.H. Massiha
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.844 KB) | DOI: 10.11591/ijra.v6i1.pp59-68

Abstract

The purpose of this project is to evaluate and optimize an assembly process for ergonomic and productivity considerations. Companies use lean manufacturing as a method for continuous improvement in order to increase throughput and for to reallocate resources for more important tasks. For this project, value stream mapping (VSM) was used to evaluate, analyze, and improve the ergonomic factors of an assembly process and to increasing throughput. With the use of VSM, researchers are able to see the areas of added value, non-added value, and bottlenecks. This project illustrates the implementation of VSM for the minimization of waste, by using the design method to restructure the process of assembly. The results show drastic improvement in assembly time and ergonomic workplace design, while providing a platform for a continuous improvement system.

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